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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

A convolutional neural network for spatial downscaling of satellite-based solar-induced chlorophyll fluorescence (SIFnet)
Johannes Gensheimer, Alexander J. Turner, Philipp Köhler, et al.
Biogeosciences (2022) Vol. 19, Iss. 6, pp. 1777-1793
Open Access | Times Cited: 31

Showing 1-25 of 31 citing articles:

From remotely‐sensed solar‐induced chlorophyll fluorescence to ecosystem structure, function, and service: Part II—Harnessing data
Ying Sun, Jiaming Wen, Lianhong Gu, et al.
Global Change Biology (2023) Vol. 29, Iss. 11, pp. 2893-2925
Closed Access | Times Cited: 44
Spatio-Temporal Variation and Climatic Driving Factors of Vegetation Coverage in the Yellow River Basin from 2001 to 2020 Based on kNDVI
Xuejuan Feng, Jia Tian, Yingxuan Wang, et al.
Forests (2023) Vol. 14, Iss. 3, pp. 620-620
Open Access | Times Cited: 28
Global patterns and drivers of post-fire vegetation productivity recovery
Hongtao Xu, Hans W. Chen, Deliang Chen, et al.
Nature Geoscience (2024) Vol. 17, Iss. 9, pp. 874-881
Closed Access | Times Cited: 12
Analysis of Vegetation Restoration Potential and Its Influencing Factors on the Loess Plateau: Based on the Potential Realization Model and Spatial Dubin Model
Chao Wang, Li‐Li Han, Youjun He, et al.
Land (2025) Vol. 14, Iss. 1, pp. 138-138
Open Access | Times Cited: 1
kNDVI Spatiotemporal Variations and Climate Lag on Qilian Southern Slope: Sen–Mann–Kendall and Hurst Index Analyses for Ecological Insights
Qian Zhang, Guangchao Cao, Meiliang Zhao, et al.
Forests (2025) Vol. 16, Iss. 2, pp. 307-307
Open Access | Times Cited: 1
A simple approach to enhance the TROPOMI solar-induced chlorophyll fluorescence product by combining with canopy reflected radiation at near-infrared band
Xinjie Liu, Liangyun Liu, Cédric Bacour, et al.
Remote Sensing of Environment (2022) Vol. 284, pp. 113341-113341
Closed Access | Times Cited: 22
Local interpretation of machine learning models in remote sensing with SHAP: the case of global climate constraints on photosynthesis phenology
Adrià Descals, Aleixandre Verger, Gaofei Yin, et al.
International Journal of Remote Sensing (2023) Vol. 44, Iss. 10, pp. 3160-3173
Open Access | Times Cited: 11
Spatial Downscaling of ESA CCI Soil Moisture Data Based on Deep Learning with an Attention Mechanism
Danwen Zhang, Linjun Lu, X.Q. Li, et al.
Remote Sensing (2024) Vol. 16, Iss. 8, pp. 1394-1394
Open Access | Times Cited: 4
Machine learning and global vegetation: random forests for downscaling and gap filling
Barry van Jaarsveld, Sandra Margrit Hauswirth, Niko Wanders
Hydrology and earth system sciences (2024) Vol. 28, Iss. 11, pp. 2357-2374
Open Access | Times Cited: 4
Multi-Feature Driver Variable Fusion Downscaling TROPOMI Solar-Induced Chlorophyll Fluorescence Approach
Jinrui Fan, Xiaoping Lu, Guosheng Cai, et al.
Agronomy (2025) Vol. 15, Iss. 1, pp. 133-133
Open Access
Forecasting of Fine-Grained SIF of OCO-2 Using Multi-source Data and AI-Based Techniques
Spurthy Maria Pais, Shrutilipi Bhattacharjee, M. Anand Kumar
Journal of the Indian Society of Remote Sensing (2025)
Closed Access
Solar Induced Chlorophyll Fluorescence: Origins and Applications, Relation to Photosynthesis and Retrieval
Yongguang Zhang, Zhaoying Zhang
Elsevier eBooks (2025)
Closed Access
Revealing the spectral bands that make generic remote estimates of leaf area index in wheat crop over various interference factors and planting conditions
Heli Li, Pingheng Li, Xingang Xu, et al.
Computers and Electronics in Agriculture (2025) Vol. 235, pp. 110381-110381
Closed Access
Sun-induced fluorescence as a proxy for primary productivity across vegetation types and climates
M. A. Pickering, Alessandro Cescatti, Grégory Duveiller
Biogeosciences (2022) Vol. 19, Iss. 20, pp. 4833-4864
Open Access | Times Cited: 17
Investigating the spatio-temporal pattern evolution characteristics of vegetation change in Shendong coal mining area based on kNDVI and intensity analysis
Zhichao Chen, Xufei Zhang, Yiheng Jiao, et al.
Frontiers in Ecology and Evolution (2023) Vol. 11
Open Access | Times Cited: 10
Solar-Induced Chlorophyll Fluorescence (SIF): Towards a Better Understanding of Vegetation Dynamics and Carbon Uptake in Arctic-Boreal Ecosystems
Rui Cheng
Current Climate Change Reports (2024) Vol. 10, Iss. 2, pp. 13-32
Open Access | Times Cited: 3
Generating high-resolution total canopy SIF emission from TROPOMI data: Algorithm and application
Zhaoying Zhang, Yao Zhang, Yongguang Zhang
Remote Sensing of Environment (2023) Vol. 295, pp. 113699-113699
Open Access | Times Cited: 9
A daily 5-km all-sky sea-surface longwave radiation product based on statistically modified deep neural network and spatiotemporal analysis for 1981–2018
Jianglei Xu, Shunlin Liang, Han Ma, et al.
Remote Sensing of Environment (2023) Vol. 290, pp. 113550-113550
Open Access | Times Cited: 7
Can upscaling ground nadir SIF to eddy covariance footprint improve the relationship between SIF and GPP in croplands?
Genghong Wu, Kaiyu Guan, Chongya Jiang, et al.
Agricultural and Forest Meteorology (2023) Vol. 338, pp. 109532-109532
Open Access | Times Cited: 7
Using enhanced vegetation index and land surface temperature to reconstruct the solar-induced chlorophyll fluorescence of forests and grasslands across latitude and phenology
Peipei Zhang, Haiqiu Liu, Hangzhou Li, et al.
Frontiers in Forests and Global Change (2023) Vol. 6
Open Access | Times Cited: 7
Regional-scale cotton yield forecast via data-driven spatio-temporal prediction (STP) of solar-induced chlorophyll fluorescence (SIF)
Xiaoyan Kang, Changping Huang, Lifu Zhang, et al.
Remote Sensing of Environment (2023) Vol. 299, pp. 113861-113861
Closed Access | Times Cited: 7
Hybrid Machine Learning and Geostatistical Methods for Gap Filling and Predicting Solar-Induced Fluorescence Values
Jovan M. Tadić, Velibor Ilić, Slobodan Ilić, et al.
Remote Sensing (2024) Vol. 16, Iss. 10, pp. 1707-1707
Open Access | Times Cited: 2
Research on downscaling method of the enhanced TROPOMI solar-induced chlorophyll fluorescence data
Xiaoping Lu, Guosheng Cai, Xiangjun Zhang, et al.
Geocarto International (2024) Vol. 39, Iss. 1
Open Access | Times Cited: 2
A high-resolution satellite-based solar-induced chlorophyll fluorescence dataset for China from 2000 to 2022
Shiyu Tao, Jing M. Chen, Zhaoying Zhang, et al.
Scientific Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 2
Spatial Statistical Prediction of Solar-Induced Chlorophyll Fluorescence (SIF) from Multivariate OCO-2 Data
Josh Jacobson, Noel Cressie, Andrew Zammit‐Mangion
Remote Sensing (2023) Vol. 15, Iss. 16, pp. 4038-4038
Open Access | Times Cited: 4
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